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chore: Regenerate all playbooks

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GitLab CI 2025-11-07 15:04:17 +00:00
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3 changed files with 4 additions and 3 deletions
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2
nvidia/jax/README.md
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@ -103,7 +103,7 @@ git clone https://github.com/NVIDIA/dgx-spark-playbooks
> This command will download a base image and build a container locally to support this environment. > This command will download a base image and build a container locally to support this environment.
```bash ```bash
cd jax/assets cd dgx-spark-playbooks/nvidia/jax/assets
docker build -t jax-on-spark . docker build -t jax-on-spark .
``` ```

2
nvidia/pytorch-fine-tune/README.md
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@ -93,7 +93,7 @@ huggingface-cli login
```bash ```bash
git clone https://github.com/NVIDIA/dgx-spark-playbooks git clone https://github.com/NVIDIA/dgx-spark-playbooks
cd nvidia/pytorch-fine-tune/assets cd dgx-spark-playbooks/nvidia/pytorch-fine-tune/assets
``` ```
## Step7: Run the fine-tuning recipes ## Step7: Run the fine-tuning recipes

3
nvidia/unsloth/README.md
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@ -87,6 +87,7 @@ docker run --gpus all --ulimit memlock=-1 -it --ulimit stack=67108864 --entrypoi
```bash ```bash
pip install transformers peft datasets "trl==0.19.1" pip install transformers peft datasets "trl==0.19.1"
pip install --no-deps unsloth unsloth_zoo pip install --no-deps unsloth unsloth_zoo
pip install hf_transfer
``` ```
## Step 5. Build and install bitsandbytes inside Docker ## Step 5. Build and install bitsandbytes inside Docker
@ -99,7 +100,7 @@ pip install --no-deps bitsandbytes
Curl the test script [here](https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/unsloth/assets/test_unsloth.py) into the container. Curl the test script [here](https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/unsloth/assets/test_unsloth.py) into the container.
```bash ```bash
curl -O https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/unsloth/assets/test_unsloth.py curl -O https://raw.githubusercontent.com/NVIDIA/dgx-spark-playbooks/refs/heads/main/nvidia/unsloth/assets/test_unsloth.py
``` ```
We will use this test script to validate the installation with a simple fine-tuning task. We will use this test script to validate the installation with a simple fine-tuning task.